code: def initial_state(self, batch_size=1):
      if not USE_LSTM:
          return tuple()
      return tuple(
          torch.zeros(batch_size, self.core.hidden_size)
          for _ in range(2)
      )
  
file_path: moolib/py/moolib/examples/a2c.py
imports: import csv
  import os
  import time
  import gym
  import torch
  from torch import nn
  from torch.nn import functional
  import moolib
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.initial_state(batch_size) and returns: tuple, tuple